{"id":"W2752071614","doi":"10.1093/nar/gkx751","title":"Functional 5′ UTR motif discovery with LESMoN: Local Enrichment of Sequence Motifs in biological Networks","year":2017,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute; McGill University; University of Ottawa","funders":"","keywords":"Biology; Sequence motif; Computational biology; Structural motif; Untranslated region; Motif (music); Gene; Genetics; Three prime untranslated region; Sequence (biology); Conserved sequence; Biological network; Gene ontology; Peptide sequence; Gene expression; Messenger RNA; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008887766,0.0001419707,0.000188806,0.00006409483,0.0002528435,0.00009729918,0.0005516414,0.0002597351,0.00004120174],"category_scores_gemma":[0.00006009874,0.0001045687,0.00005943831,0.00009771261,0.001010639,0.00001926326,0.0005236318,0.0004017506,0.0000111866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004960245,"about_ca_system_score_gemma":0.0001304991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009251703,"about_ca_topic_score_gemma":0.00007769431,"domain_scores_codex":[0.9985008,0.00008686139,0.0002634721,0.0003374115,0.0003316289,0.0004798159],"domain_scores_gemma":[0.9989279,0.00003178102,0.0001043104,0.0006998305,0.0001378056,0.00009836845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004671041,0.001078111,0.557458,0.0002268059,0.0004665824,0.0001538933,0.0003827046,0.05990889,0.1746964,0.01247005,0.01545426,0.1730332],"study_design_scores_gemma":[0.005473495,0.004856415,0.8565797,0.0003377262,0.00002285863,0.0001005339,0.001131292,0.08143102,0.02760881,0.0029931,0.01828399,0.001181067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522898,0.000323157,0.04338161,0.0002778513,0.0001061776,0.0002614794,0.00001423966,0.000005005209,0.003340651],"genre_scores_gemma":[0.9982517,0.0003132781,0.0004932294,0.00005098825,0.000192645,0.00002278765,0.0000586317,0.00001357774,0.0006030971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2991216,"threshold_uncertainty_score":0.4264188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05752355849153183,"score_gpt":0.3173963587475853,"score_spread":0.2598728002560535,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}